Ke-Ming Liu

Bearing fault diagnosis based on multiscale subdomain full-dimensional dynamic convolutional networks

To address the issues of poor data distribution alignment and suboptimal transfer performance in existing transfer learning methods for unsupervised bearing fault diagnosis, this paper proposes a Multi-Scale Sub-Domain Full-Dimensional Dynamic Convolution Network (MSODNet) for bearing fault diagnosis. First, Omni-dimen...